py7dtd 1.0.0a0

Collection of 7 Days to Die bots, scripts and hacks

py7dtd - A 7 Days to Die tools collection

https://7daystodie.com/

In this repository are collected tools and scripts for the game 7 Days to Die:

• Tools for the detection of objects/entities
• Scripts for the automatization of actions (mining, crafting, etc.)
• Aim bots
• Passcode cracking
• Block detection

Installation (Windows)

Clone the module, create a virtual environment and install it:

git clone [e-mail]:tassoneroberto/py7dtd.git
cd py7dtd
py -3.7 -m venv venv
.\venv\Scripts\Activate.ps1
py -m pip install .[ai]

Note: if you are not interested in "entities detection" or "aimbot" then you can omit [ai] from the above command:

py -m pip install .

Dev mode

To install the package in edit mode (for developers) specify -e:

py -m pip install -e .[ai]

Dependencies for entities detection

Disclaimer: an NVIDIA® GPU card with CUDA® architectures 3.5, 3.7, 5.2, 6.0, 6.1, 7.0 or higher is required. See the list of CUDA®-enabled GPU cards (https://developer.nvidia.com/cuda-gpus).

Install the following dependencies:

• C++ redistributable (https://support.microsoft.com/en-us/help/2977003/the-latest-supported-visual-c-downloads)
• NVIDIA® GPU drivers —CUDA® 11.2.1 (https://www.nvidia.com/drivers)
• CUDA® Toolkit 11.1 (https://developer.nvidia.com/cuda-toolkit-archive)
• cuDNN SDK 7.6 (https://developer.nvidia.com/cudnn)

(More info here: https://www.tensorflow.org/install/gpu)

In order to use the module you need a x64 version of Python 3.7.x. You can download it at this page: https://www.python.org/downloads/windows/

Download link: https://www.python.org/ftp/python/3.7.9/python-3.7.9-amd64.exe

You also need to download the trained model (https://github.com/tassoneroberto/py7dtd/releases/download/v0.2/model.h5) for the entities detection and move it to src/ai/models/v2/.

Optional

To be able to train a model you need to download the ImageAI's pre-trained model (https://github.com/OlafenwaMoses/ImageAI/releases/download/essential-v4/pretrained-yolov3.h5) and move it to ./src/ai/.

Entities detection

❗ Under development ❗

Simple entities detector using AI (Computer Vision).

The objects detection (trees, zombies, etc.) is done using ImageAI: https://github.com/OlafenwaMoses/ImageAI/

The annotation of the images has been done using the tool labelImg: https://github.com/tzutalin/labelImg

Proof of concept

Aim bot

❗ Under development ❗

Simple aim bot capable of:

• Detect zombies/players
• Move the mouse to the target
• Shoot

Usage

py7dtd_auto_shooting --delay 200

Note: Press ESC to interrupt the bot.

Command line arguments

The following table is listing all the arguments that can be specified:

arg	description	default
help	Arguments description	N/A
delay	Time in ms between each screenshot	500
output	Output folder	./auto_shooting

Passcode cracking

❗ Under development ❗

Bruteforce/dictionary attack on chests/doors passcode.

Usage

It is recommended to set the game in window mode with a resolution of 640x480.

Example of a bruteforce attack testing passcodes of 2-10 characters length composed of digits and lowercase characters, with a delay of 20ms between each try, a limit of 100 tries and a timeout of 60 seconds.

Note: Press ESC to interrupt the bot.

py7dtd_crack_passcode --brute --digits --lower --min 2 --max 10 --delay 20 --limit 100 --timeout 60

Get the arguments list with the help function:

py7dtd_crack_passcode --help

Example of a dictionary attack with a delay of 30ms between each try and no limit in tries.

py7dtd_crack_passcode --dict --dictpath ./dictionaries/top1000.txt --delay 30

Note: dictionaries can be found at https://github.com/danielmiessler/SecLists/tree/master/Passwords.

Command line arguments

The available methods are bruteforce attack (--brute) and dictionary attack (--dict).

The following table is listing all the arguments to use for each method:

arg	description	default	type
help	Arguments description	N/A	N/A
min	Minimum length	1	brute
max	Maximum length	20	brute
digits	Include digits	False**	brute
lower	Include lowercase characters	False**	brute
upper	Include uppercase characters	False**	brute
special	Include special characters	False**	brute
dictpath	Dictionary file path	./dictionaries/top1000.txt	dict*
limit	Maximum number of tries	∞	brute, dict
timeout	Maximum time in seconds allowed	∞	brute, dict
delay	Delay in ms between each action	20	brute, dict

*This attribute is required if dict is selected

**At least one of these is required

Blocks detection

❗ Under development ❗

Detection of block, like topsoil and destroyed stone blocks, by taking screenshots of the map.

Usage

It is recommended to set the game in window mode with the highest resolution possible.

Specify the blocks to be identified by passing them as arguments (e.g. --topsoil). Specify an output folder (or keep the default one ./blocks_detection). Run the script and open the game map by pressing M. Press P to take a screenshot of the map and automatically mark in red the specified blocks. The screenshots, with the block marked, will be saved in the output folder.

Note: Press ESC to interrupt the script.

py7dtd_blocks_detection --topsoil --destroyed

Get the arguments list with the help function:

py7dtd_blocks_detection --help

Example of detection of topsoil blocks in the desert biome:

Command line arguments

The following table is listing all the arguments:

arg	description	default
help	Arguments description	N/A
topsoil	Topsoil blocks	False*
destroyed	Destroyed stone blocks	False*
output	Output folder	./blocks_detection

*At least one of these is required